Memristor‐Based Intelligent Human‐Like Neural Computing
Humanoid robots, intelligent machines resembling the human body in shape and functions,
cannot only replace humans to complete services and dangerous tasks but also deepen the …
cannot only replace humans to complete services and dangerous tasks but also deepen the …
Exploiting machine learning for bestowing intelligence to microfluidics
Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …
An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing
The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …
However, artificial neurons are not typically capable of operating in biological environments …
Iontronic neuromorphic signaling with conical microfluidic memristors
Experiments have shown that the conductance of conical channels, filled with an aqueous
electrolyte, can strongly depend on the history of the applied voltage. These channels hence …
electrolyte, can strongly depend on the history of the applied voltage. These channels hence …
Forming-free Pt/Al2O3/HfO2/HfAlOx/TiN memristor with controllable multilevel resistive switching and neuromorphic characteristics for artificial synapse
Controllable multilevel resistive switching (RS) and neuromorphic characteristics emerges
as a promising paradigm to build power-efficient computing hardware for high density data …
as a promising paradigm to build power-efficient computing hardware for high density data …
Implementation of reservoir computing using volatile WOx-based memristor
In this study, we investigate a Ni/WO x/ITO-glass memristor device to verify short-term
memory characteristics for reservoir computing systems. We verify the chemical and material …
memory characteristics for reservoir computing systems. We verify the chemical and material …
Combination of organic‐based reservoir computing and spiking neuromorphic systems for a robust and efficient pattern classification
Nowadays, neuromorphic systems based on memristors are considered promising
approaches to the hardware realization of artificial intelligence systems with efficient …
approaches to the hardware realization of artificial intelligence systems with efficient …
Neuromorphic synapses with high switching uniformity and multilevel memory storage enabled through a Hf-Al-O alloy for artificial intelligence
Due to their high data-storage capability, oxide-based memristors with controllable
conductance properties have attracted great interest in electronic devices for high …
conductance properties have attracted great interest in electronic devices for high …
Convolutional Neural Network Based on Crossbar Arrays of (Co-Fe-B)x(LiNbO3)100−x Nanocomposite Memristors
Convolutional neural networks (CNNs) have been widely used in image recognition and
processing tasks. Memristor-based CNNs accumulate the advantages of emerging …
processing tasks. Memristor-based CNNs accumulate the advantages of emerging …
Nano-crystalline ZnO memristor for neuromorphic computing: Resistive switching and conductance modulation
In this work, a nano-crystalline (NC) ZnO-based memristor was fabricated to investigate the
short-term memory characteristics for reservoir computing systems. The crystalline structure …
short-term memory characteristics for reservoir computing systems. The crystalline structure …